Fire Fighting EngineerJobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>To drive sales growth and manage procurement processes for oil and gas piping materials, ensuring high-quality supply chain management, excellent customer service, and compliance with industry standards in the GCC region especially in Qatar</p><p>Must have strong experience in selling and sourcing oil and gas materials, especially piping, valves, and related products, within the GCC region.</p><p>Develop and implement sales strategies to achieve the targets set by management. </p><p>Identify and pursue new business opportunities in key markets. </p><p>Build and maintain strong relationships with existing and potential client </p><p>Prepare and present proposals, quotations and monitor market trends </p><p>Identify and evaluate suppliers to ensure the procurement of high-quality products at competitive prices. </p><p>Negotiate contracts and agreements with suppliers to secure the best terms. </p><p>Meeting with clients and initiating marketing activities to grab business opportunities </p><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must have strong experience in sales and procurement of piping materials for the oil and gas industry in the GCC region.</p><p>Bachelor's Degree in Engineering or a related field, business administration, or a related field. </p><p>Minimum 5 years of experience in a related field. </p><p>Sales Engineering and Technical Support and Communication skills </p><p>Proven experience in sales, sourcing, and marketing, preferably within O&amp;G industry in GCC</p><p>Strong negotiation, communication, and presentation skills. </p><p>Ability to work independently and as&nbsp;part&nbsp;of&nbsp;a&nbsp;team.</p><p>Local Hire only</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul> <li><strong>Electrical Subsea System Pre-commissioning &amp; Commissioning:</strong> Define / Review the methodology for identification and representation of Electrical systems and subsystems boundary limits for project break down into commissionable systems aiding planning preparation and execution.</li> <li>Execution of HV Subsea cable system testing (including HV cable, HV cable Joints and HV Cable Termination) and testing of HV / LV Umbilical and Topside Umbilical Termination Units.</li> <li>Strong background in installation, commissioning (testing), troubleshooting and Energization of Electrical Substation Equipment (132 kV GIS, HV Transformers, HV Reactors, HV Switchgears 33 kV, 6.6 kV, and LV Switchgears, Protection relays, VSD, ENMCS, etc.) and development of HV Switching programs.</li> <li><strong>HV Cable and Umbilical Integration:</strong> Define / implement the requirements for HV power cables and umbilical (including Fiber Optic cable for SCADA Integration) for the transmission of electrical power supply and communication signals from the Onshore facilities to offshore platforms.</li> <li><strong>Vendor Management:</strong> Review technical deliverables, datasheets, and procurement specifications for HV subsea Cable and Umbilical and being Company representative for the FAT and SAT test.</li> </ul><br><ul> <li>Proven professional work experience, skills, or operational practices on marine facilities (Offshore)</li> </ul><br><ul> <li><strong>Salary:</strong><ul> <li>Day Rate in QAR Plus Allowance</li> </ul></li> <li><strong>Work Schedule:</strong><ul> <li>9 Hours / 6 Days</li> </ul></li> </ul> <ul> <li><strong>Duration:</strong> <ul> <li>1 year with possible extension</li> </ul> </li> <li><strong>Location:</strong> <ul> <li>Qatar</li> </ul> </li> </ul> </div>

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Description of Maintenance Support Electrical Engineers </strong><br> <br> <strong>Job Purpose:</strong><br> To provide technical/ engineering supports to Maintenance, Operations and Supply departments in order to carry out improvement of reliability, costs, efficiency, optimization of maintenance execution, failure and troubleshooting investigations.<br> <strong>Required Qualification and Experience: </strong><br> Bachelor in Engineering (Electrical) from a recognized university with minimum 10 years of experience in similar responsibility in oil and gas or petrochemical environment related to Engineering, Plant construction, pre-commissioning, commissioning and startup of the plants. <br> <strong>Reporting and Relationships</strong><strong>:</strong><br> &nbsp;<ul><li>Works with other Obsolescence &amp; LCM Engineers, RCM Engineers and Reliability Engineers. Liaise with Maintenance, Operations, Engineering, Supply and other supporting departments and has to contact with vendors and equipment manufacturers to obtain information and as required.</li><li>Works independently on broad assignments with professional engineering principles and standards covering all areas of the onshore plant, storage and terminal facilities and support to offshore.</li></ul><br> <strong>Job Context &amp; Major Challenge(s):</strong><br> &nbsp;<ul><li>Works independently on broad assignments related to his discipline guided by Company objectives and professional engineering standards covering onshore and offshore plant facilities.</li><li>Defining expectation for ensuring that all plant and equipment are maintained for high reliability, in optimum operating condition and that the value of Company assets is protected and enhanced.</li><li>Reviewing and setting standards and expectations of maintenance activities to achieve maximum production reliability and availability.</li><li>Work covers all areas of the onshore plant, storage and terminal facilities and some support to offshore. Much of the work involves close collaboration with Operation, Process, Supply and other Engineering divisions.</li></ul><br> <strong>Key Job Accountabilities:</strong><ul><li>Review RSPLs (Recommended Spare Parts list) and recommend spare parts for all new projects.</li><li>Review stock that has passed shelf life still held in the stock and recommend to replenish or scrap as necessary.</li></ul><ul><li>Reviews and recommends max / min spare parts level for non-moving, obsolete, surplus, spares and consolidate and updates the files on a continuous basis.</li><li>Review capital spares status and provides recommendations for preservation and upkeep.</li><li>Review and approve Electrical Maintenance Strategies and Purchase Requisition of materials (TBE – Technical Bid Evaluation).</li></ul>&nbsp;<ul><li>Carry out engineering feasibility study (eMOC) in coordination with required disciplines and develop mitigation solution for Obsolescence Management.</li><li>Exposure to Obsolescence Management for equipment and Spares will be an advantage.</li><li>Review of all Electrical Master Data Governance (MDG) studies (Material creation, change, deletion and obsolescence) through SAP.</li></ul><br> <strong>Discipline Expertise:</strong><br> &nbsp;<ol><li>Specialist in Electrical system &amp; a working knowledge of appropriate international standards such as IEC, IEEE, BS, NFPA&nbsp; etc.</li><li>In-depth knowledge in Hazardous area classified equipment for electrical &amp; instrument application</li><li>Electrical Engineering domain knowledge for below Equipment/systems<ul><li>Transformers</li><li>Motors/generators</li><li>Switchgear/GIS</li><li>Protection relays</li><li>ELICS</li><li>UPS and Battery chargers</li><li>VVVF drives</li><li>HVAC</li><li>Power generation</li><li>ICCP</li></ul></li></ol>&nbsp;<ol><li>At least 10 years working experience with the majority experience gained in the oil and gas industry.</li><li>Computer literate with knowledge of SAP and commonly used Microsoft business software packages.</li></ol><br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>

Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline

Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline

Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline

ROLES & RESPONSIBILITIES:Provide L2 technical support for AI applications (chatbots, assistants, automation tools) Work with external vendors and agencies to implement and integrate AI solutions Troubleshoot production issues with LLM APIs, data pipelines, and application performance Customize and configure vendor-delivered AI solutions to requirements Build integrations between AI applications and enterprise systems Review and validate code/solutions delivered by external agencies Maintain technical documentation and runbooks Monitor application performance and implement fixes Handle API configuration, authentication, and access management.<br>SKILLS & COMPETENCIES:5+ years full stack development experience Strong Python backend skills (Fast API, Flask, or Django) Frontend development experience (React, Vue, or Angular) Experience working with external vendors and technical teams REST API integration and troubleshooting Azure services experience (App Services, Functions, API Management)<br>PREFERRED SKILLS:Experience with LLM APIs (Open AI, Azure Open AI, Anthropic) Knowledge of RAG patterns and vector databases Experience reviewing and validating third-party code Understanding of enterprise integration patterns

Job Vacancy for Senior Valve Sales Team Lead with minimum 5 years of Oil & Gas Experience preferably in Doha, Qatar (Middle East is also acceptable)<br>Role Description: Develop and execute sales plans to hit revenue and profit targets within assigned territories or sectors like oil and gas, petrochemicals, and water treatment. Generate leads, nurture relationships with key clients, EPC (Engineering, Procurement, Construction) contractors, and consultants, and negotiate high-value contracts. Assist clients and channel partners with proper product selection, valve specifications, and complex technical or commercial proposals. Handle project documentation and orderly execution of work.<br>Qualifications:4-5 years of experience in the oil and gas industry in Qatar Bachelor's degree in mechanical engineering and any advanced certifications in valve engineering or piping design are an advantage<br>Send resumes to facility00974@gmail.com or apply directly through Linked In.

Job Vacancy for Senior Valve Sales Team Lead with minimum 5 years of Oil & Gas Experience preferably in Doha, Qatar (Middle East is also acceptable)<br>Role Description: Develop and execute sales plans to hit revenue and profit targets within assigned territories or sectors like oil and gas, petrochemicals, and water treatment. Generate leads, nurture relationships with key clients, EPC (Engineering, Procurement, Construction) contractors, and consultants, and negotiate high-value contracts. Assist clients and channel partners with proper product selection, valve specifications, and complex technical or commercial proposals. Handle project documentation and orderly execution of work.<br>Qualifications:4-5 years of experience in the oil and gas industry in Qatar Bachelor's degree in mechanical engineering and any advanced certifications in valve engineering or piping design are an advantage<br>Send resumes to facility00974@gmail.com or apply directly through Linked In.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>You ll need to be team oriented and flexible, with a really good approach to electronic repair and troubleshooting. You ll be cross-trained on our products and you ll be expected to follow complex schematics in isolating issues and in assembly. You ll be resolving issues, troubleshooting, installing, servicing, and repairing equipment at customer sites. That includes working on some special high-visibility projects and following up with customers.</p><p>Responsibilities:</p><ul><li>Meeting daily service and repair needs and drive customer satisfaction</li><li>Install, repair and maintain equipment in the field; providing customer training as required</li><li>Document all inspections, maintenance, and repair work</li><li>Reviews all logs for open issues and prepares formal reports to customers</li><li>Assesses product and equipment performance and recommend modifications or improvements</li></ul><p>You ll work closely with colleagues and Technical Support staff. This is a role that requires some travel, and may also require the ability to work outside of normal business hours.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Education/Training: Associates Degree or equivalent technical training. Electrical/Electronic Engineering related Degree. Computer literacy required, Experience with Mechanical, Electrical and advantage with IT/Networks experience.</p><p>Experience: Minimum of three years overall relevant experience directly involved in troubleshooting and field repair of electrical and electronic systems and equipment. FSE s should have a minimum of two years field experience with Electro-mechanical systems and preferred knowledge in IT networks. Candidate should have experience in installation, Integration, Testing and commissioning.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original optics problems that simulate real physics research workflows; Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from optics &amp; physics practice; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Civil Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Coordinate the activities of QA/QC Inspectors, contract hired engineers/inspectors and NDT Technicians, in compliance with procedure requirements.</p><p>Conduct metallurgical failure analysis on failed plants or offshore components to establish the cause of failure and recommendations.</p><p>Provide expertise and support for QA/QC matters related to procurement of materials and equipment.</p><p>Review purchase requisition for inspection and certification requirements, technical bid evaluation, appointment of Third-Party Inspection (TPI) inspectors and ensure the inspection of material receiving at warehouse.</p><p>Analyze and review all critical repair instructions including Welding Procedure Specification (WPS), Procedure Qualification Records (PQR) and QA/QC reports that are generated by QA/QC inspectors and engineers, listing alternative testing and inspection methods as applicable for repair or modification.</p><p>Participate and provide necessary inputs for startup readiness, lessons learnt, Formal Risk Assessment (FRA), Engineering Management of Change (EMOC) and Root Cause Failure Analysis (RCFA) from QA/QC perspective.</p><p>Provide technical input on the Scope of Work (SOW) for maintenance contracts related to repair and modification works, participating in Technical Bid evaluations for the contracts, reviewing all Contractor documents and ensuring compliance with QA/QC requirements.</p><p>Coordinate and perform technical audits as requested on suppliers' and contractors' Quality Management Systems, providing technical evaluation and recommendation, conducting follow-up for the observations and corrective actions. Promote quality awareness among Maintenance, Supply Department and Contractors through training, knowledge sharing, and procedure roll out sessions. </p><p>Plan and ensure timely execution of inspection and certification of Gas Cylinders, Portable Tanks and Lifting Equipment as per QA/QC section KPI.</p><p>Communicate understanding of policies and procedures for Project and Plant QA/QC, e.g., material receiving inspection and control of welding, assisting in revision or updating of the same including support for various other QA/QC procedures.</p><p>Provide support to Operations Readiness Plan (ORP) process, following up on deliverables, meeting milestone target dates and ensuring proper handover/completion as per Company policy and procedure.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in engineering.</p><p>Professional certifications in Welding, NDT, Inspection or Auditing.</p><p>4 years' experience in QA/QC related activities with the oil and gas industry.</p><p>Conversant in the field of design, engineering, procurement, fabrication, inspection and installation of process equipment and piping, including troubleshooting of welding and QA/QC issues.</p><p>Proficient in written and spoken English.</p><p>Computer literate.</p><p>Good interpersonal and leadership skills.</p><p>Data analysis and reporting skills.</p><p>Ability to provide required guidance and technical support to the team.</p><p></p></section>

Primary Purpose Of The Job<br><br>Perform studies, develop, evaluate, initiate and plan infrastructure projects to ensure<br><br>that all Electrical Infrastructure within Industrial Cities Directorate area including Ports<br><br>are in place to accommodate the anticipated growth of existing and future Asset<br><br>Operators / Business Partners / Industries. Responsible to provide guidance and<br><br>support for Asset Operators / Business Partners Project development on common and<br><br>shared Electrical related Infrastructure facilities within Industrial Cities.<br><br>Coordinate and liaise actively with concerned Asset Operators / Business Partners,<br><br>Qatar Energy Surface Development, KAHRAMAA (KM) and other stakeholders to<br><br>identify and develop synergy opportunities, formulate the necessary conceptual<br><br>studies, development plans, projects concepts, engineering plans, project execution<br><br>plans and related activities.<br><br>Required Experience And Skills<br><br>Minimum 10 years’ experience in design, engineering and construction of Electricarelated major infrastructure and facilities projects within the Oil & Gas and / or Petrochemical industry (preferably with 8-10 years with consulting / engineeringfirm).<br><br>Exposure and experience in project lifecycle and project management with highsupervisory skills.<br><br>Exposure to international experience and an appreciation of cultural sensitivities.<br><br>Educational Qualifications<br><br>Internationally recognized Bachelor’s Degree in Electrical Engineering.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Performs a variety of process engineering duties in the plant. Incudes monitoring performance of plants and facilities, preparing daily performance summary, and recommending corrective actions to deal with abnormalities. Prepares studies to develop, test and implement changes in plant operations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 6 years hands-on experience in process/operations in Refinery or Linear Alkyl Benzene plant.</li><li>Fluent in spoken and written English language.</li><li>Good personal &amp; oral communication skills.</li><li>Proficient in Process simulation tools in Refinery or in Linear Alkyl Benzene plant.</li><li>Professional usage of Refinery Information System (RIS), Process Historian Data (PHD), Laboratory information system, SAP, off-site Automation software's applications and PC software, such as, Microsoft Project, Excel, Graphics/Presentation packages, Workflow charting ... etc.</li><li>Good knowledge of ISO 9001:2015, ISO17025 and ISO 14000 requirements to be able to implement the Refinery's IMS procedures.</li><li>Good comprehension of applicable International Standards in Refinery.</li><li>Analytical skills in Refinery or LAB plant economics business.</li><li>Presentation and communication skills, ability to draft effective written Technical documents.</li><li>BSc in Chemical Engineering or in Petroleum Processing Engineering.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Electrical Engineering or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>